Triple
T19504323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple September 2022 event |
E487979
|
entity |
| Predicate | presenter |
P83
|
FINISHED |
| Object | Sumbul Desai |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sumbul Desai | Statement: [Apple September 2022 event, presenter, Sumbul Desai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sumbul Desai Context triple: [Apple September 2022 event, presenter, Sumbul Desai]
-
A.
Sumbul Desai
chosen
Sumbul Desai is a physician and Apple executive who leads the company’s health initiatives, including features related to wellness and medical research across its devices and services.
-
B.
Nainita Desai
Nainita Desai is a British film and television composer known for her evocative scores on high-profile dramas and documentaries.
-
C.
Kanchan Desai
Kanchan Desai is the daughter of legendary Indian film actor Shammi Kapoor.
-
D.
Persis Khambatta
Persis Khambatta was an Indian model and actress best known internationally for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
-
E.
Nita Dalal
Nita Dalal, better known as Nita Ambani, is an Indian philanthropist and businesswoman who is a key figure in the Reliance Industries conglomerate and the founder of the Reliance Foundation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635105db8819084915dc2d047188d |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.